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Implementation of an Intelligent Course Advisory Expert System

Daramola, Olawande and Emebo, Onyeka and Afolabi, I. T. and Ayo, C. K. (2014) Implementation of an Intelligent Course Advisory Expert System. IJARAI) International Journal of Advanced Research in Artificial Intelligence, 5 (4).

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Academic advising of students is an expert task that requires a lot of time, and intellectual investments from the human agent saddled with such a responsibility. In addition, good quality academic advising is subject to availability of experienced and committed personnel to undertake the task. However, there are instances when there is paucity of capable human adviser, or where qualified persons are not readily available because of other pressing commitments, which will make system-based decision support desirable, and useful. In this work, we present the design, implementation, of an intelligent Course Advisory Expert System (CAES) that uses a combination of rule based reasoning (RBR), and case based reasoning (CBR) to recommend courses that a student should register in a specific semester by making recommendation based on the student’s academic history. The evaluation CAES yielded satisfactory performance in terms of credibility of its recommendations, and usability.

Item Type: Article
Uncontrolled Keywords: Academic advising; expert system; case-based reasoning; JESS; rule-based reasoning; evaluation
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: Faculty of Engineering, Science and Mathematics > School of Electronics and Computer Science
Depositing User: Mrs Patricia Nwokealisi
Date Deposited: 21 Oct 2015 15:10
Last Modified: 04 May 2017 13:08

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